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Empowering Students with AI: A Universal Design Framework for Learning and Growth

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Conference

2025 Northeast Section Conference

Location

University of Bridgeport, Bridgeport, CT

Publication Date

March 23, 2025

Start Date

March 22, 2025

End Date

March 22, 2025

Page Count

6

DOI

10.18260/1-2-119-54992

Permanent URL

https://peer.asee.org/54992

Download Count

38

Paper Authors

author page

Lina H. Kloub University of Connecticut

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Abstract

The integration of artificial intelligence (AI) tools in education presents a unique opportunity to enhance learning ex-periences, foster inclusivity, and prepare students for professional careers. This study explores the incorporation of AI tools into a theoretical computer science course. Known for its rigor and challenging content, the course was redesigned to align with the Universal Design for Learning (UDL) framework and promote the National Association of Colleges and Employers (NACE) career readiness competencies. The interventions included AI-integrated homework assignments, the use of AI in brainstorm-ing, sourcing, and writing for group projects, leveraging AI to test student knowledge through interactive questioning and feedback, and utilizing AI as an interview preparation tool.

Pre- and post-semester surveys assessed changes in students’ perceptions and utilization of AI tools, revealing increased con-fidence in ethical considerations, greater appreciation for AI’s role in learning, and improved career readiness. The results highlight the transformative potential of AI when thoughtfully integrated into coursework, fostering an inclusive environment that enhances academic and professional development. This paper discusses the methodologies, findings, and implications for educators aiming to responsibly incorporate AI tools into their teaching practices.

Kloub, L. H. (2025, March), Empowering Students with AI: A Universal Design Framework for Learning and Growth Paper presented at 2025 Northeast Section Conference, University of Bridgeport, Bridgeport, CT. 10.18260/1-2-119-54992

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